Senior Machine Learning Engineer

What You'll Do

• Develop, evaluate, and deploy machine learning models across brand safety, sponsor detection, topic classification, and video analysis, along with customer 360 records and entity resolution, owning them from experimentation through production monitoring.
• Build and maintain the data pipelines and feature workflows your models depend on, working with both SQL and NoSQL data at scale.
• Partner with engineers, product, and business teams across the company to turn ambiguous questions into measurable models and clear analyses.
• Coach and level up other engineers, setting the example for how ML work gets scoped, built, evaluated, and shipped.
• Use AI coding tools daily, contributing to a velocity that redefines what a small team can deliver.
• Write clean, reliable, and reproducible code with a strong sense of accountability for what you ship in production.

What We're Looking For

• 5+ years of experience in Data Science or Machine Learning Engineering.
• Proficiency in SQL and Python, with hands-on experience with NoSQL databases and Databricks or Snowflake.
• A track record of taking machine learning models from prototype to production and owning their performance once they're live.
• Set and lead a high bar on the team for model quality: building eval datasets, defining offline and online metrics, running A/B tests and shadow runs, and monitoring models in production.
• Excellent data analysis skills, from exploratory analysis to rigorous evaluation.
• Ability to communicate clearly with both technical and non-technical audiences.